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The TensorFlow Datasets Authors
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Automated documentation update.
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‎docs/catalog/emnist.md

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@@ -52,18 +52,7 @@ horizontally and rotated 90 anti-clockwise. You can use `tf.transpose` within
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<span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>:
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Updated broken download URL
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* **Download size**: `Unknown size`
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* **Dataset size**: `Unknown size`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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* **Splits**:
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:---- | -------:
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* **Download size**: `535.73 MiB`
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* **Supervised keys** (See
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[`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
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* **Config description**: EMNIST ByClass
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* **Dataset size**: `349.16 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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No
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* **Splits**:
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:-------- | -------:
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`'test'` | 116,323
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`'train'` | 697,932
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* **Feature structure**:
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* **Config description**: EMNIST ByMerge
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* **Dataset size**: `349.16 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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No
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* **Splits**:
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Split | Examples
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:-------- | -------:
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`'test'` | 116,323
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* **Feature structure**:
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* **Config description**: EMNIST Balanced
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* **Dataset size**: `56.63 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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Yes
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* **Splits**:
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:-------- | -------:
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`'test'` | 18,800
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* **Feature structure**:
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* **Config description**: EMNIST Letters
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* **Dataset size**: `44.14 MiB`
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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* **Splits**:
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:-------- | -------:
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`'test'` | 14,800
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* **Dataset size**: `120.32 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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Yes
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* **Splits**:
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`'test'` | 40,000
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* **Config description**: EMNIST MNIST
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* **Dataset size**: `30.09 MiB`
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* **Auto-cached**
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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* **Splits**:
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`'test'` | 10,000
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```python

‎docs/catalog/plant_leaves.md

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<meta itemprop="name" content="TensorFlow Datasets" />
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</div>
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<meta itemprop="name" content="plant_leaves" />
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<meta itemprop="description" content="This dataset consists of 4502 images of healthy and unhealthy plant leaves&#10;divided into 22 categories by species and state of health. The images are in&#10;high resolution JPG format.&#10;&#10;There are no files with label prefix 0000, therefore label encoding is shifted&#10;by one (e.g. file with label prefix 0001 gets encoded label 0).&#10;&#10;Note: Each image is a separate download. Some might rarely fail, therefore make&#10;sure to restart if that happens. An exception will be raised in case one of the&#10;downloads repeatedly fails.&#10;&#10;Dataset URL: https://data.mendeley.com/datasets/hb74ynkjcn/1 License:&#10;http://creativecommons.org/licenses/by/4.0&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;plant_leaves&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10; print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;" />
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<meta itemprop="description" content="This dataset consists of 4502 images of healthy and unhealthy plant leaves&#10;divided into 22 categories by species and state of health. The images are in&#10;high resolution JPG format.&#10;&#10;There are no files with label prefix 0000, therefore label encoding is shifted&#10;by one (e.g. file with label prefix 0001 gets encoded label 0).&#10;&#10;Note: Each image is a separate download. Some might rarely fail, therefore make&#10;sure to restart if that happens. An exception will be raised in case one of the&#10;downloads repeatedly fails.&#10;&#10;Dataset URL: https://data.mendeley.com/datasets/hb74ynkjcn/1 License:&#10;http://creativecommons.org/licenses/by/4.0&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;plant_leaves&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10; print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;&lt;img src=&quot;https://storage.googleapis.com/tfds-data/visualization/fig/plant_leaves-0.1.1.png&quot; alt=&quot;Visualization&quot; width=&quot;500px&quot;&gt;&#10;&#10;" />
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<meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/plant_leaves" />
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<meta itemprop="sameAs" content="https://data.mendeley.com/datasets/hb74ynkjcn/1" />
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<meta itemprop="citation" content="@misc{,&#10; author={Siddharth Singh Chouhan, Ajay Kaul, Uday Pratap Singh, Sanjeev&#10;Jain},&#10; title={A Database of Leaf Images: Practice towards Plant Conservation with&#10;Plant Pathology},&#10; howpublished={Mendeley Data},&#10; year={2019}&#10;}" />
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* **Download size**: `6.56 GiB`
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* **Dataset size**: `6.81 GiB`
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([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
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* **Figure**
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<img src="https://storage.googleapis.com/tfds-data/visualization/fig/plant_leaves-0.1.1.png" alt="Visualization" width="500px">
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* **Examples**
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([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):

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